Triple
T13312440
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Witten |
E317101
|
entity |
| Predicate | hasTwinTown |
P919
|
FINISHED |
| Object |
Bancroft
Bancroft is a small town that serves as a twin town to Witten, likely known for its local community character and regional cultural ties.
|
E335354
|
NE FINISHED |
How this triple was built (4 steps)
Every LLM step that produced this triple, in pipeline order — named-entity classification, the disambiguation choices (the exact options shown, with the pick highlighted), and the generated description. The batch + timestamp of each is in the Provenance table below.
NER
Named-entity recognition
gpt-5-mini
Instruction
Given a phrase, classify it is english named entity (e.g., persons, organizations, works of art) in Latin script, or not (e.g., literals, dates, URLs, verbose phrases). For disambiguation, the statement where the phrase occurs as object is also given. Please return a JSON object with `phrase` (string, the phrase being analyzed) and `is_ne` (boolean, indicating whether the phrase is a Named Entity).
Input
Phrase: Bancroft | Statement: [Witten, hasTwinTown, Bancroft]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Bancroft Context triple: [Witten, hasTwinTown, Bancroft]
-
A.
Bancroft
Bancroft is an English-origin surname borne by various notable figures in politics, academia, and the arts.
-
B.
Brant
Brant is a family name most notably associated with Isabella Brant, the first wife and frequent muse of the Flemish Baroque painter Peter Paul Rubens.
-
C.
Fairbank
Fairbank is a residential neighbourhood in the city of Toronto, Ontario, known for its diverse community and urban character.
-
D.
Fairbank
Fairbank is a surname most notably associated with Richard Fairbank, the co-founder and longtime CEO of Capital One Financial Corporation.
-
E.
Cabell
Cabell is a surname of English origin borne by various notable individuals, including American politician Earle Cabell.
- F. None of above. chosen
- G. Unsure - the case is ambiguous/there is not enough information to decide.
NEDg
Description generation
gpt-5.1
Instruction
Generate a one-sentence description of the target entity. You are given a context triple in the form (subject, predicate, object), where the object is the target entity. # Instructions Use the triple to infer relevant information about the entity. Describe the entity based on what is most defining, well-known. Avoid repeating the information from the triple, unless really essential. # Response Format Return only the sentence: "Description: [one-sentence description of the target entity]"
Input
Entity: Bancroft Triple: [Witten, hasTwinTown, Bancroft]
Generated description
Bancroft is a small town that serves as a twin town to Witten, likely known for its local community character and regional cultural ties.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Bancroft Target entity description: Bancroft is a small town that serves as a twin town to Witten, likely known for its local community character and regional cultural ties.
-
A.
Bancroft
chosen
Bancroft is an English-origin surname borne by various notable figures in politics, academia, and the arts.
-
B.
Brant
Brant is a family name most notably associated with Isabella Brant, the first wife and frequent muse of the Flemish Baroque painter Peter Paul Rubens.
-
C.
Fairbank
Fairbank is a residential neighbourhood in the city of Toronto, Ontario, known for its diverse community and urban character.
-
D.
Fairbank
Fairbank is a surname most notably associated with Richard Fairbank, the co-founder and longtime CEO of Capital One Financial Corporation.
-
E.
Cabell
Cabell is a surname of English origin borne by various notable individuals, including American politician Earle Cabell.
- F. None of above.
Provenance (5 batches)
The batch behind each pipeline step, in order, with when it ran. Timestamps are batch-level — stages were processed in waves, so the object chain (NER → NED1 → NEDg → NED2) reads in order, but predicate / elicitation batches can sit in a different wave.
| Step | Stage | Batch ID | Status | When |
|---|---|---|---|---|
| creating | Elicitation | batch_69d806b40ab4819094adf6c374f4811a |
completed | April 9, 2026, 8:06 p.m. |
| NER | Named-entity recognition | batch_69d990f6d34c8190ba19dc2df7d42c22 |
completed | April 11, 2026, 12:08 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69f716e7b9a48190a33b04df8ad45ed8 |
completed | May 3, 2026, 9:35 a.m. |
| NEDg | Description generation | batch_69f717b868608190971c38f26b61cf28 |
completed | May 3, 2026, 9:39 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69f7186b6218819096c67e9dd9af609f |
completed | May 3, 2026, 9:42 a.m. |
Created at: April 9, 2026, 9:29 p.m.